Generative AI Multimodal Content Generation System

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Solution Overview

Problem

Existing content creation technologies lack efficient methods for generating high-quality, customizable digital conversational content that combines text, audio, and video, often relying on human writers and voice actors which are resource-intensive and limited in creativity.

Innovation Solution

A system utilizing generative artificial intelligence (AI) to create multimodal conversational content, including a user interface for inputting parameters, a processing environment with AI servers and processors, and a storage system for managing metadata and voice repositories, enabling the generation of synchronized audio and video content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If human writers and voice actors are used for content creation, then content quality and creativity are maintained, but resource consumption and production time increase significantly

Engineering Contradiction:

Improvecontent creation efficiencyVSAvoidresource consumption

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The patent uses generative AI to create virtual copies of human writers and voice actors through trained language models and voice synthesis systems. These digital replicas can generate content without requiring actual human resources, thereby improving productivity while reducing resource consumption.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical system of human content creation with an automated AI-based system. The generative AI models process data and generate content through computational mechanisms, substituting human intellectual labor with algorithmic processes that consume fewer physical resources.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If generative AI is used to create content, then productivity and customization are improved, but system complexity increases

Engineering Contradiction:

Improvecontent customization capabilityVSAvoidsystem architecture complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent divides the content generation system into distinct modular components: language models for text generation, voice synthesis modules for audio creation, and separate processing units for different content types. This segmentation allows for independent optimization and management of each function, making the overall complex system more manageable and adaptable.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a universal generative AI platform that can produce multiple types of content (text, audio, video) through a single integrated system. The same core AI infrastructure serves multiple content generation functions, reducing the need for separate specialized systems and managing complexity through multi-functionality.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If multiple content formats (text, audio, video) are generated simultaneously, then content versatility is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvemultimodal content generationVSAvoidcontent generation time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by generating base content in one format (e.g., text) first, then using that generated content as input for subsequent format conversions (audio, video). This sequential approach with pre-computed intermediate results reduces total processing time compared to generating all formats simultaneously from scratch.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent merges the content generation process across multiple formats by using a unified AI model that can output different content types from the same input. The system combines text generation, voice synthesis, and video creation into an integrated workflow where shared computational resources are utilized efficiently across all format generations.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20250201234A1System for generating conversational content by utilizing generative ai and method thereof

Publication Date: 2025.06.19 SINGH HEMENDRA

AI summary

The invention discloses a system (100) for generating conversational content using a generative artificial intelligence (AI), said system (100) comprising: a user (101), an administrator (102), an application programming interface (API) server (103), a generative artificial intelligence (AI) server (104), a plurality of databases (105), a generative artificial intelligence (AI) processor (106), an audio generate processor (107), a text-to-speech processor/service provider (108), a video generation service (109), a video generation processor (110), and a memory communicatively coupled to the processor, wherein the memory stores processors instructions, which, on execution, causes the processor to generate at least one of conversational script, audio, video, or combination thereof. The system (100) allows users to create and customize various aspects of conversational content, including characters/personas/speakers, groups (of personas/characters/speakers), tones, content types, topics, conversation formats, and tone.